Intelligent power distribution network construction method and device, equipment and storage medium

Abstract

The invention belongs to the technical field of smart power grids, and discloses a smart power distribution network construction method and device, equipment and a storage medium. The method comprises the following steps: identifying switching states of power distribution equipment in a current power distribution network and switching equipment in a switching station; determining each branch based on the on-off state of the switch device, and constructing a plurality of power distribution network topological structures corresponding to the current power distribution network by taking the power distribution device as a network node; detecting the plurality of power distribution network topological structures, and screening a plurality of power distribution network topological structures meeting a preset constraint condition based on a detection result; screening out a target power distribution network topological structure from the plurality of power distribution network topological structures meeting the preset constraint condition according to a target reconstruction condition; and reconstructing the current power distribution network based on the target power distribution network topological structure. Through the mode, the combination of a complex power distribution network, network topology construction and dynamic reconstruction can be dealt with, the power distribution quality can be improved, and the loss can be reduced.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and in particular to a method, device, equipment and storage medium for constructing a smart distribution network. Background Art

[0002] With the emergence and popularization of new power communication technologies such as smart grid, Internet of Vehicles, and 5G, the power grid system is becoming increasingly complex, and the need for intelligent power grid is imminent. Ensuring the stable and reliable operation of the power grid is the development direction of the power grid field. As a "bridge" connecting the power grid and users, the distribution network has a heavy and difficult task. Reducing losses is inseparable from the construction of network topology. However, the construction of traditional distribution networks only simply considers aspects such as line planning and conductor selection, which is difficult to adapt to today's complex distribution environment. There are problems such as unreasonable design, excessive losses, and poor distribution quality.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, device, equipment and storage medium for constructing a smart distribution network, aiming to solve the problem that the construction of the traditional distribution network only simply considers aspects such as line planning and conductor selection, is difficult to adapt to today's complex distribution network, and has technical problems such as unreasonable design, excessive loss and poor distribution quality.

[0005] To achieve the above object, the present invention provides a method for constructing a smart power distribution network, the method comprising the following steps:

[0006] Identify the switch status of the power distribution equipment in the current distribution network and the switchgear in the switchgear station;

[0007] Determine each branch based on the switch state of the switch device, and construct multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node;

[0008] Detecting the multiple distribution network topology structures, and selecting multiple distribution network topology structures that meet preset constraint conditions based on the detection results;

[0009] Selecting a target distribution network topology structure from the plurality of distribution network topologies that meet the preset constraint conditions according to the target reconstruction condition;

[0010] The current distribution network is reconstructed based on the target distribution network topology.

[0011] In some embodiments, the detecting the multiple power distribution network topologies includes:

[0012] Obtain the number of network nodes, the number of branches, and the number of ring networks in each distribution network topology;

[0013] Calculating a first difference value according to the number of the network nodes and the number of the branches;

[0014] Calculating a second difference value according to an absolute value corresponding to the first difference value and the number of the ring networks;

[0015] Based on the first difference and the second difference, island and loop detection is performed on the constructed multiple distribution network topologies.

[0016] In some embodiments, the screening of multiple distribution network topologies that meet preset constraints based on the detection results includes:

[0017] Based on the island and loop detection results, the distribution network topology structures with islands and loops are eliminated from the multiple distribution network topology structures to obtain multiple candidate distribution network topology structures;

[0018] Constructing a state set corresponding to each alternative distribution network topology structure respectively, wherein the state set is composed of switch states of switch devices in a switchgear station of each alternative distribution network topology structure;

[0019] Get the set factor corresponding to each state set;

[0020] Optimizing each candidate distribution network topology structure based on the set factor and the state set to reduce the space of each candidate distribution network topology structure and obtain multiple optimized distribution network topology structures;

[0021] The multiple optimized distribution network topology structures are subjected to multiple iterations of crossover and mutation processing, and multiple distribution network topology structures that meet preset constraint conditions are screened out, wherein the preset constraint conditions include a crossover probability and a mutation probability.

[0022] In some embodiments, the method further comprises:

[0023] Constructing a first constraint condition based on active power, reactive power, a first voltage, a second voltage, and electrical parameters of branches between nodes corresponding to any group of nodes in the historical distribution network topology structure;

[0024] Constructing a second constraint condition based on the voltage limit value, the current limit value and the capacity limit value of the corresponding branch corresponding to any group of nodes in the historical distribution network topology structure;

[0025] A target constraint condition is constructed according to the first constraint condition and the second constraint condition.

[0026] In some embodiments, selecting a target distribution network topology structure from the plurality of distribution network topologies satisfying the preset constraint conditions according to the target reconstruction condition includes:

[0027] Selecting a plurality of reference distribution network topology structures from the plurality of distribution network topology structures meeting the preset constraint conditions according to the target reconstruction condition;

[0028] Calculate the loss value, deviation value and performance index value corresponding to each reference distribution network topology structure respectively;

[0029] Calculate the cost value corresponding to each reference distribution network topology structure according to the loss value, the deviation value and the performance indicator value;

[0030] The reference distribution network topology with the smallest cost value is taken as the target distribution network topology.

[0031] In some embodiments, respectively calculating the loss value, deviation value and performance index value corresponding to each reference distribution network topology structure includes:

[0032] The loss value is calculated according to the number of branches, switch status, branch active power, branch reactive power, branch impedance and branch terminal voltage value corresponding to each reference distribution network topology structure;

[0033] Calculate the deviation value based on the actual voltage and rated voltage of the nodes corresponding to each reference distribution network topology structure;

[0034] The performance index value is calculated according to the weight of each node type in each reference distribution network topology structure and the weight corresponding to each node load type.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also proposes a smart distribution network construction device, the smart distribution network construction device comprising:

[0036] An acquisition module is used to identify the switch status of the power distribution equipment in the current distribution network and the switch equipment in the switch station;

[0037] A generating module, configured to determine each branch based on the switch state of the switch device, and construct multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node;

[0038] A detection module, used to detect the multiple distribution network topology structures, and screen multiple distribution network topology structures that meet preset constraint conditions based on the detection results;

[0039] A screening module, used for screening out a target distribution network topology structure from the multiple distribution network topologies meeting the preset constraint conditions according to the target reconstruction condition;

[0040] A construction module is used to reconstruct the current distribution network based on the target distribution network topology.

[0041] In some embodiments, the detection module is used to obtain the number of network nodes, the number of branches, and the number of ring networks in each distribution network topology;

[0042] Calculating a first difference value according to the number of the network nodes and the number of the branches;

[0043] Calculating a second difference value according to an absolute value corresponding to the first difference value and the number of the ring networks;

[0044] Based on the first difference and the second difference, island and loop detection is performed on the constructed multiple distribution network topologies.

[0045] In addition, to achieve the above-mentioned purpose, the present invention also proposes a smart distribution network construction device, which includes: a memory, a processor, and a smart distribution network construction program stored in the memory and executable on the processor, and the smart distribution network construction program is configured to implement the steps of the smart distribution network construction method described above.

[0046] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a smart distribution network construction program is stored. When the smart distribution network construction program is executed by a processor, the steps of the smart distribution network construction method described above are implemented.

[0047] The present invention identifies the switch states of the distribution equipment in the current distribution network and the switch devices in the switch station; determines each branch based on the switch states of the switch devices, and constructs multiple distribution network topology structures corresponding to the current distribution network with the distribution equipment as network nodes; detects the multiple distribution network topology structures, and selects multiple distribution network topology structures that meet preset constraints based on the detection results; selects a target distribution network topology structure from the multiple distribution network topology structures that meet the preset constraints according to a target reconstruction condition; and reconstructs the current distribution network based on the target distribution network topology structure. The present invention can cope with complex distribution networks, and the combination of network topology construction and dynamic reconstruction can improve the distribution quality and reduce losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a flow chart of the first embodiment of the method for constructing a smart distribution network according to the present invention;

[0049] Figure 2 This is a flow chart of a second embodiment of the method for constructing a smart distribution network according to the present invention;

[0050] Figure 3This is a structural block diagram of the first embodiment of the smart distribution network construction device of the present invention.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0053] The embodiment of the present invention provides a method for constructing a smart distribution network. Figure 1 , Figure 1 This is a flow chart of a first embodiment of a method for constructing a smart distribution network according to the present invention.

[0054] In this embodiment, the method for constructing a smart power distribution network includes the following steps:

[0055] Step S10: Identify the switch status of the power distribution equipment in the current power distribution network and the switch equipment in the switch station.

[0056] In this embodiment, the executor of this embodiment is a smart distribution network construction device, wherein the smart distribution network construction device has functions such as data processing, data communication and program running. The smart distribution network construction device can be a computer terminal device or other network device, and of course it can also be other devices with similar functions, and this embodiment does not limit this.

[0057] It should be noted that with the emergence and popularization of new power communication technologies such as smart grid, Internet of Vehicles, and 5G, the power grid system is becoming increasingly complex, which brings with it the urgent need for intelligent power grids. Ensuring the stable and reliable operation of the power grid is the development direction of the power grid field. As a "bridge" connecting the power grid and users, the distribution network has a heavy and difficult task. Reducing losses is inseparable from the construction of network topology. However, the construction of traditional distribution networks only simply considers aspects such as line planning and conductor selection, which is difficult to adapt to today's complex distribution environment. There are problems such as unreasonable design, excessive losses, and poor distribution quality.

[0058] In order to solve the above technical problems, this embodiment identifies the switch status of the distribution equipment in the current distribution network and the switch equipment in the switchgear; determines each branch based on the switch status of the switch equipment, and constructs multiple distribution network topology structures corresponding to the current distribution network with the distribution equipment as the network node; detects the multiple distribution network topology structures, and selects multiple distribution network topology structures that meet the preset constraints based on the detection results; selects the target distribution network topology structure from the multiple distribution network topology structures that meet the preset constraints according to the target reconstruction conditions; reconstructs the current distribution network based on the target distribution network topology structure, which can cope with complex distribution networks. The combination of network topology construction and dynamic reconstruction can improve the distribution quality and reduce losses. Specifically, it can be achieved as follows.

[0059] In the specific implementation, in this embodiment, it is necessary to first identify the switch status of the distribution equipment in the current distribution network and the switch equipment in the switch station. The identified distribution equipment and switch status of the switch equipment are used for the subsequent construction of the distribution network topology structure.

[0060] Step S20: determining each branch based on the switch state of the switch device, and constructing multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node.

[0061] In the specific construction process, in this embodiment, the distribution equipment is used as a network node, and the branches between the network nodes are determined based on the switching state of the switching device. If the switching state is disconnected, there is no branch between the two network nodes. If the switching state is closed, there is a branch between the two network nodes. Each branch connects at least two nodes, and different switching states and different connection methods make it possible to obtain multiple distribution network topologies in the end.

[0062] Step S30: Detecting the multiple distribution network topologies, and selecting multiple distribution network topologies that meet preset constraint conditions based on the detection results.

[0063] After completing the construction of multiple distribution network topologies, in this embodiment, these distribution network topologies need to be detected. The detection is aimed at island and loop detection in the distribution network topology. By optimizing the distribution network topology through this detection, the overall distribution network quality can be improved.

[0064] In some embodiments, the detection process specifically obtains the number of network nodes, the number of branches, and the number of ring networks in each distribution network topology; calculates a first difference according to the number of network nodes and the number of branches; calculates a second difference according to the absolute value corresponding to the first difference and the number of ring networks; performs island and loop detection on the constructed multiple distribution network topologies based on the first difference and the second difference. For example, assuming that the number of network nodes is X, the number of branches is Y, and the number of ring networks is Z, then the first difference is XY, and the second difference is |XY|-Z, and then the first difference is compared with the first preset difference, and the second difference is compared with the second preset difference. The first preset difference can be set to 1, and the second preset difference can be set to -1. If it is detected that XY=1 and |XY|-Z=-1 in the distribution network topology, that is, the first difference is the first preset difference and the second difference is the second preset difference, it is determined that there are islands and loops in the corresponding distribution network topology.

[0065] Furthermore, after obtaining the detection result, in this embodiment, the distribution network topology structure with isolated islands and loops can be eliminated based on the detection result, and multiple candidate distribution network topology structures can be obtained after elimination.

[0066] In order to further improve the construction efficiency, in this embodiment, it is necessary to further optimize multiple alternative distribution network topologies. The specific optimization process is to first construct a state set corresponding to each alternative distribution network topology, obtain a set factor corresponding to each state set, and then optimize each alternative distribution network topology based on the set factor and the state set to obtain multiple optimized distribution network topologies. The space of each alternative distribution network topology can be reduced by optimization, wherein the state set corresponding to each alternative distribution network topology is composed of the switch state of the switch device in the switchgear of each alternative distribution network topology, for example, S=[s 1 ,s 2 ,...,s n ],s 1 ,s 2 ,...,s n It represents the switch status of 1 to n switch devices in an alternative distribution network topology, n represents the number of switches, and the switch status is closed s n is 1, the switch is disconnected n is 0. Assuming the collection factor is Φ, if Φ-s n =1, the corresponding alternative distribution network topology will be further eliminated.

[0067] For the multiple optimized distribution network topologies finally obtained, multiple iterative crossover and mutation processing can be performed in this embodiment. The crossover and mutation processing adopts the operations in the genetic algorithm, which will not be described in detail here. For each optimized distribution network topology structure, its crossover probability and mutation probability can be obtained, and then the crossover probability and mutation probability are compared with the corresponding preset probability ranges respectively. If they are within the preset probability range, it is regarded as a distribution network topology structure that meets the preset constraints. The preset probability range in this embodiment can be set to 0~1, or to 0~0.8. The specific setting is adjusted according to actual needs, and this is not limited in this embodiment.

[0068] Step S40: selecting a target distribution network topology structure from the plurality of distribution network topologies meeting the preset constraint conditions according to the target reconstruction condition.

[0069] After obtaining multiple distribution network topologies that meet the preset constraints, in order to further reduce network losses, in this embodiment, the target reconstruction condition is used to select the distribution network topology with the lowest loss from the multiple distribution network topologies that meet the preset constraints as the target distribution network topology, target.

[0070] Step S50: reconstructing the current distribution network based on the target distribution network topology.

[0071] After obtaining the target distribution network topology, the current distribution network topology is replaced according to the target distribution network topology, thereby realizing the reconstruction of the current distribution network.

[0072] This embodiment identifies the switch states of the distribution equipment in the current distribution network and the switch devices in the switchgear; determines each branch based on the switch states of the switch devices, and constructs multiple distribution network topology structures corresponding to the current distribution network with the distribution equipment as network nodes; detects the multiple distribution network topology structures, and selects multiple distribution network topology structures that meet preset constraints based on the detection results; selects a target distribution network topology structure from the multiple distribution network topology structures that meet the preset constraints according to the target reconstruction conditions; and reconstructs the current distribution network based on the target distribution network topology structure. This embodiment can cope with complex distribution networks, and the combination of network topology construction and dynamic reconstruction can improve distribution quality and reduce losses.

[0073] refer to Figure 2 , Figure 2 This is a flow chart of a second embodiment of a method for constructing a smart distribution network according to the present invention.

[0074] Based on the above first embodiment, in the smart distribution network construction method of this embodiment, step S40 specifically includes:

[0075] Step S401: selecting a plurality of reference distribution network topology structures from the plurality of distribution network topology structures meeting preset constraint conditions according to a target reconstruction condition.

[0076] It should be noted that before using the target reconstruction condition for screening, it is necessary to first establish the target reconstruction condition. In this embodiment, the target reconstruction condition is composed of the first constraint condition and the second constraint condition. The construction process of the first constraint condition is to construct the first constraint condition based on the active power, reactive power, first voltage, second voltage and electrical parameters of the branch between nodes corresponding to any group of nodes in the historical distribution network topology structure, for example, P = U 1 U 2 (G sin β + B cos θ), Q = U 1 U 2 (Gsinθ+Bcosβ), where P and Q together constitute the first constraint condition, P is active power, Q is reactive power, U1 is a first voltage corresponding to one of the nodes, U2 is a second voltage corresponding to the other node, and the electrical parameters include conductance G, susceptance B, and phase angle differences β and θ.

[0077] Furthermore, the second constraint condition is constructed based on the voltage limit, current limit and capacity limit of the corresponding branch corresponding to any group of nodes in the historical distribution network topology structure. For example, U min ≤U≤U max , I≤I max , These three conditions together constitute the second constraint, U min and U max are the minimum and maximum voltages, I max It represents the maximum current. The meanings of P and Q are as mentioned above. T represents the maximum capacity of the branch. The above method is used to constrain the voltage, current and capacity in the topology structure, thereby screening out multiple reference distribution network topologies.

[0078] Step S402: Calculate the loss value, deviation value and performance index value corresponding to each reference distribution network topology structure respectively.

[0079] For each reference distribution network topology node, in this embodiment, it is necessary to calculate its corresponding loss value, deviation value and performance index value.

[0080] The specific calculation process is to calculate the loss value according to the number of branches, switch status, branch active power, branch reactive power, branch impedance and branch terminal voltage value corresponding to each reference distribution network topology structure, for example Where n is the number of branches, k is i Indicates the switch state, P i is the branch active power, Qi is the branch reactive power, r i is the branch impedance, U i is the voltage at the end of the branch.

[0081] Furthermore, the deviation value is calculated based on the actual voltage and the rated voltage of the nodes corresponding to each reference distribution network topology, for example Among them, U i Indicates the actual voltage, U iN Indicates rated voltage.

[0082] Furthermore, the performance index value is calculated according to the weight of each node type in each reference distribution network topology and the weight corresponding to each node load type, for example, F 3 =a i b i , a i is the weight of each node type, b i is the weight corresponding to each node load type.

[0083] Step S403: Calculate the cost value corresponding to each reference distribution network topology structure according to the loss value, the deviation value and the performance indicator value.

[0084] The specific calculation process of the cost value is as follows: Among them, F1, F2 and F3 represent the loss value, deviation value and performance index value respectively, and the cost value V can be calculated by the above calculation formula.

[0085] Step S404: taking the reference distribution network topology structure with the minimum cost as the target distribution network topology structure.

[0086] The reference distribution network topology with the smallest cost value indicates that the loss of the distribution network topology is the lowest. Therefore, in this embodiment, by comparing the cost values ​​of various reference distribution network topologies, the reference distribution network topology with the lowest cost value is used as the target distribution network topology.

[0087] In this embodiment, a first constraint condition is constructed based on the active power, reactive power, first voltage, second voltage and electrical parameters of branches between nodes corresponding to any group of nodes in the historical distribution network topology structure; a second constraint condition is constructed based on the voltage limit, current limit and capacity limit of the corresponding branch corresponding to any group of nodes in the historical distribution network topology structure; a target constraint condition is constructed according to the first constraint condition and the second constraint condition, and a plurality of reference distribution network topologies are selected from the plurality of distribution network topologies that meet the preset constraint conditions according to the target reconstruction condition; a loss value is calculated according to the number of branches, switch state, branch active power, branch reactive power, branch impedance and branch terminal voltage value corresponding to each reference distribution network topology structure; a deviation value is calculated according to the actual voltage and rated voltage of the node corresponding to each reference distribution network topology structure; a performance index value is calculated according to the weight of each node type in each reference distribution network topology structure and the weight corresponding to each node load type; a cost value corresponding to each reference distribution network topology structure is calculated according to the loss value, the deviation value and the performance index value; and the reference distribution network topology structure with the smallest cost value is taken as the target distribution network topology structure. The above method can effectively reduce the loss of the distribution network.

[0088] In addition, an embodiment of the present invention further proposes a storage medium, on which a smart distribution network construction program is stored. When the smart distribution network construction program is executed by a processor, the steps of the smart distribution network construction method described above are implemented.

[0089] Reference Figure 3 , Figure 3 This is a structural block diagram of the first embodiment of the smart distribution network construction device of the present invention.

[0090] like Figure 3 As shown, the smart distribution network construction device proposed in the embodiment of the present invention includes:

[0091] The acquisition module 10 is used to identify the switch status of the power distribution equipment in the current power distribution network and the switch equipment in the switch station.

[0092] The generating module 20 is used to determine each branch based on the switch state of the switch device, and to construct multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node.

[0093] The detection module 30 is used to detect the multiple distribution network topologies and select multiple distribution network topologies that meet preset constraint conditions based on the detection results.

[0094] The screening module 40 is used to screen out a target distribution network topology structure from the multiple distribution network topologies that meet the preset constraint conditions according to the target reconstruction condition.

[0095] The construction module 50 is used to reconstruct the current distribution network based on the target distribution network topology.

[0096] This embodiment identifies the switch states of the distribution equipment in the current distribution network and the switch devices in the switchgear; determines each branch based on the switch states of the switch devices, and constructs multiple distribution network topology structures corresponding to the current distribution network with the distribution equipment as network nodes; detects the multiple distribution network topology structures, and selects multiple distribution network topology structures that meet preset constraints based on the detection results; selects a target distribution network topology structure from the multiple distribution network topology structures that meet the preset constraints according to the target reconstruction conditions; and reconstructs the current distribution network based on the target distribution network topology structure. This embodiment can cope with complex distribution networks, and the combination of network topology construction and dynamic reconstruction can improve distribution quality and reduce losses.

[0097] In some embodiments, the detection module 30 is used to obtain the number of network nodes, the number of branches, and the number of ring networks in each distribution network topology structure; calculate a first difference based on the number of network nodes and the number of branches; calculate a second difference based on the absolute value corresponding to the first difference and the number of ring networks; and perform island and loop detection on the constructed multiple distribution network topologies based on the first difference and the second difference.

[0098] In some embodiments, the detection module 30 is used to eliminate the distribution network topology structures with islands and loops from the multiple distribution network topologies based on the island and loop detection results, and obtain multiple alternative distribution network topologies; construct a state set corresponding to each alternative distribution network topology, and the state set is composed of the switching state of the switching devices in the switchgear of each alternative distribution network topology; obtain the set factor corresponding to each state set; optimize each alternative distribution network topology based on the set factor and the state set to reduce the space of each alternative distribution network topology, and obtain multiple optimized distribution network topologies; perform multiple iterative crossover and mutation processing on the multiple optimized distribution network topologies, and screen out multiple distribution network topologies that meet preset constraints, and the preset constraints include crossover probability and mutation probability.

[0099] In some embodiments, the screening module 40 is used to construct a first constraint condition based on the active power, reactive power, first voltage, second voltage and electrical parameters of the branches between nodes corresponding to any group of nodes in the historical distribution network topology; to construct a second constraint condition based on the voltage limit, current limit and capacity limit of the corresponding branch corresponding to any group of nodes in the historical distribution network topology; and to construct a target constraint condition based on the first constraint condition and the second constraint condition.

[0100] In some embodiments, the screening module 40 is used to screen out multiple reference distribution network topologies from the multiple distribution network topologies that meet the preset constraints according to the target reconstruction conditions; respectively calculate the loss value, deviation value and performance index value corresponding to each reference distribution network topology; calculate the cost value corresponding to each reference distribution network topology according to the loss value, the deviation value and the performance index value; and take the reference distribution network topology with the smallest cost value as the target distribution network topology.

[0101] In some embodiments, the screening module 40 is used to calculate the loss value according to the number of branches, switch status, branch active power, branch reactive power, branch impedance and branch end voltage value corresponding to each reference distribution network topology structure; calculate the deviation value according to the actual voltage and rated voltage of the node corresponding to each reference distribution network topology structure; calculate the performance indicator value according to the weight of each node type in each reference distribution network topology structure and the weight corresponding to each node load type.

[0102] An embodiment of the present application also provides a smart distribution network construction device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus, and the memory is used to store computer programs; the processor is used to implement the above-mentioned smart distribution network construction method when executing the program stored in the memory.

[0103] The communication bus mentioned in the above-mentioned smart distribution network construction equipment can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0104] The communication interface is used for communication between the above-mentioned smart distribution network construction equipment and other equipment.

[0105] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0106] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0107] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0108] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0109] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0110] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0111] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0112] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0113] In addition, for technical details that are not described in detail in this embodiment, please refer to the smart distribution network construction method provided in any embodiment of the present invention, and will not be repeated here.

[0114] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0115] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0116] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0117] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0118] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

Claims

1. A method for constructing a smart distribution network, characterized in that: The smart distribution network construction method comprises: Identify the switch status of the power distribution equipment in the current distribution network and the switchgear in the switchgear station; Determine each branch based on the switch state of the switch device, and construct multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node; Detecting the multiple distribution network topology structures, and selecting multiple distribution network topology structures that meet preset constraint conditions based on the detection results; Selecting a target distribution network topology structure from the plurality of distribution network topologies that meet the preset constraint conditions according to the target reconstruction condition; The current distribution network is reconstructed based on the target distribution network topology.

2. The method according to claim 1, characterized in that The detecting of the multiple distribution network topology structures comprises: Obtain the number of network nodes, the number of branches, and the number of ring networks in each distribution network topology; Calculating a first difference value according to the number of the network nodes and the number of the branches; Calculating a second difference value according to an absolute value corresponding to the first difference value and the number of the ring networks; Based on the first difference and the second difference, island and loop detection is performed on the constructed multiple distribution network topologies.

3. The method according to claim 2, characterized in that The method of screening multiple distribution network topologies that meet preset constraint conditions based on the detection results includes: Based on the island and loop detection results, the distribution network topology structures with islands and loops are eliminated from the multiple distribution network topology structures to obtain multiple candidate distribution network topology structures; Constructing a state set corresponding to each alternative distribution network topology structure respectively, wherein the state set is composed of switch states of switch devices in a switchgear station of each alternative distribution network topology structure; Get the set factor corresponding to each state set; Optimizing each candidate distribution network topology structure based on the set factor and the state set to reduce the space of each candidate distribution network topology structure and obtain multiple optimized distribution network topology structures; The multiple optimized distribution network topology structures are subjected to multiple iterations of crossover and mutation processing, and multiple distribution network topology structures that meet preset constraint conditions are screened out, wherein the preset constraint conditions include a crossover probability and a mutation probability.

4. The method for constructing a smart distribution network according to claim 1, characterized in that: The method further comprises: Constructing a first constraint condition based on active power, reactive power, a first voltage, a second voltage, and electrical parameters of branches between nodes corresponding to any group of nodes in the historical distribution network topology structure; Constructing a second constraint condition based on the voltage limit value, the current limit value and the capacity limit value of the corresponding branch corresponding to any group of nodes in the historical distribution network topology structure; A target constraint condition is constructed according to the first constraint condition and the second constraint condition.

5. The method for constructing a smart distribution network according to any one of claims 1 to 4, characterized in that: The step of selecting a target distribution network topology structure from the multiple distribution network topologies that meet the preset constraint conditions according to the target reconstruction condition includes: Selecting a plurality of reference distribution network topology structures from the plurality of distribution network topology structures meeting the preset constraint conditions according to the target reconstruction condition; Calculate the loss value, deviation value and performance index value corresponding to each reference distribution network topology structure respectively; Calculate the cost value corresponding to each reference distribution network topology structure according to the loss value, the deviation value and the performance indicator value; The reference distribution network topology with the smallest cost value is taken as the target distribution network topology.

6. The method for constructing a smart distribution network according to claim 5, characterized in that: The calculation of the loss value, deviation value and performance index value corresponding to each reference distribution network topology structure includes: The loss value is calculated according to the number of branches, switch status, branch active power, branch reactive power, branch impedance and branch terminal voltage value corresponding to each reference distribution network topology structure; Calculate the deviation value based on the actual voltage and rated voltage of the nodes corresponding to each reference distribution network topology structure; The performance index value is calculated according to the weight of each node type in each reference distribution network topology structure and the weight corresponding to each node load type.

7. A smart distribution network construction device, characterized in that: The smart distribution network construction device comprises: An acquisition module is used to identify the switch status of the power distribution equipment in the current distribution network and the switch equipment in the switch station; A generating module, configured to determine each branch based on the switch state of the switch device, and construct multiple distribution network topology structures corresponding to the current distribution network with the distribution device as a network node; A detection module, used to detect the multiple distribution network topology structures, and screen multiple distribution network topology structures that meet preset constraint conditions based on the detection results; A screening module, used for screening out a target distribution network topology structure from the multiple distribution network topologies meeting the preset constraint conditions according to the target reconstruction condition; A construction module is used to reconstruct the current distribution network based on the target distribution network topology.

8. The smart distribution network construction device according to claim 7, characterized in that: The detection module is used to obtain the number of network nodes, the number of branches and the number of ring networks in each distribution network topology; Calculating a first difference value according to the number of the network nodes and the number of the branches; Calculating a second difference value according to an absolute value corresponding to the first difference value and the number of the ring networks; Based on the first difference and the second difference, island and loop detection is performed on the constructed multiple distribution network topologies.

9. A smart distribution network construction device, characterized in that: The smart distribution network construction device includes: a memory, a processor, and a smart distribution network construction program stored in the memory and executable on the processor, wherein the smart distribution network construction program is configured to implement the steps of the smart distribution network construction method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a smart distribution network construction program, and when the smart distribution network construction program is executed by the processor, the steps of the smart distribution network construction method according to any one of claims 1 to 7 are implemented.

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